Impact Assessment of Assimilating NASA’s RapidScat Surface Wind Retrievals in the NOAA Global Data Assimilation System
The National Aeronautics and Space Administration (NASA) RapidScat scatterometer on board the International Space Station (ISS) provides observations of surface winds that can be assimilated into numerical weather prediction (NWP) forecast models. In this study, the authors assess the data quality o...
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| Veröffentlicht in: | Monthly weather review 2018-04, Vol.146 (4), p.929-942 |
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| creator | Liu, Ling Garrett, Kevin Maddy, Eric S. Boukabara, Sid-Ahmed |
| description | The National Aeronautics and Space Administration (NASA) RapidScat scatterometer on board the International Space Station (ISS) provides observations of surface winds that can be assimilated into numerical weather prediction (NWP) forecast models. In this study, the authors assess the data quality of the RapidScat Level 2B surface wind vector retrievals and the impact of those observations on the National Oceanic and Atmospheric Administration (NOAA) Global Forecast System (GFS). The RapidScat is found to provide quality measurements of surface wind speed and direction in nonprecipitating conditions and to provide observations that add both information and robustness to the global satellite observing system used in NWP models. The authors find that with an assumed uncertainty in wind speed of around 2 m s
−1
, the RapidScat has neutral impact on the short-range forecast of surface wind vectors in the tropics but improves both the analysis and background field of surface wind vectors. However, the deployment of RapidScat on the ISS presents some challenges for use of these wind vector observations in operational NWP, including frequent maneuvers of the spacecraft that could alter instrument performance. |
| doi_str_mv | 10.1175/MWR-D-16-0179.1 |
| format | Article |
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−1
, the RapidScat has neutral impact on the short-range forecast of surface wind vectors in the tropics but improves both the analysis and background field of surface wind vectors. However, the deployment of RapidScat on the ISS presents some challenges for use of these wind vector observations in operational NWP, including frequent maneuvers of the spacecraft that could alter instrument performance.</description><identifier>ISSN: 0027-0644</identifier><identifier>EISSN: 1520-0493</identifier><identifier>DOI: 10.1175/MWR-D-16-0179.1</identifier><language>eng</language><publisher>Washington: American Meteorological Society</publisher><subject>Aeronautics ; Ambiguity ; Atmospheric models ; Data assimilation ; Data collection ; Deployment ; Experiments ; Impact assessment ; International Space Station ; Meteorological satellites ; Numerical forecasting models ; Quality assessment ; Quality control ; Robustness (mathematics) ; Satellite observation ; Satellites ; Scatterometers ; Sensors ; Space stations ; Spacecraft ; Spacecraft maneuvers ; Surface wind ; Tropical environments ; Vectors ; Weather forecasting ; Wind measurement ; Wind speed ; Wind vectors ; Winds</subject><ispartof>Monthly weather review, 2018-04, Vol.146 (4), p.929-942</ispartof><rights>Copyright American Meteorological Society Apr 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c310t-7fff6cc87dc119468c11ff81ebc43d3e6bfaa8806632609c335e76ec6cbc05903</citedby><cites>FETCH-LOGICAL-c310t-7fff6cc87dc119468c11ff81ebc43d3e6bfaa8806632609c335e76ec6cbc05903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3681,27924,27925</link.rule.ids></links><search><creatorcontrib>Liu, Ling</creatorcontrib><creatorcontrib>Garrett, Kevin</creatorcontrib><creatorcontrib>Maddy, Eric S.</creatorcontrib><creatorcontrib>Boukabara, Sid-Ahmed</creatorcontrib><title>Impact Assessment of Assimilating NASA’s RapidScat Surface Wind Retrievals in the NOAA Global Data Assimilation System</title><title>Monthly weather review</title><description>The National Aeronautics and Space Administration (NASA) RapidScat scatterometer on board the International Space Station (ISS) provides observations of surface winds that can be assimilated into numerical weather prediction (NWP) forecast models. In this study, the authors assess the data quality of the RapidScat Level 2B surface wind vector retrievals and the impact of those observations on the National Oceanic and Atmospheric Administration (NOAA) Global Forecast System (GFS). The RapidScat is found to provide quality measurements of surface wind speed and direction in nonprecipitating conditions and to provide observations that add both information and robustness to the global satellite observing system used in NWP models. The authors find that with an assumed uncertainty in wind speed of around 2 m s
−1
, the RapidScat has neutral impact on the short-range forecast of surface wind vectors in the tropics but improves both the analysis and background field of surface wind vectors. However, the deployment of RapidScat on the ISS presents some challenges for use of these wind vector observations in operational NWP, including frequent maneuvers of the spacecraft that could alter instrument performance.</description><subject>Aeronautics</subject><subject>Ambiguity</subject><subject>Atmospheric models</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Deployment</subject><subject>Experiments</subject><subject>Impact assessment</subject><subject>International Space Station</subject><subject>Meteorological satellites</subject><subject>Numerical forecasting models</subject><subject>Quality assessment</subject><subject>Quality control</subject><subject>Robustness (mathematics)</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Scatterometers</subject><subject>Sensors</subject><subject>Space stations</subject><subject>Spacecraft</subject><subject>Spacecraft maneuvers</subject><subject>Surface wind</subject><subject>Tropical environments</subject><subject>Vectors</subject><subject>Weather forecasting</subject><subject>Wind measurement</subject><subject>Wind speed</subject><subject>Wind 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Assessment of Assimilating NASA’s RapidScat Surface Wind Retrievals in the NOAA Global Data Assimilation System</title><author>Liu, Ling ; Garrett, Kevin ; Maddy, Eric S. ; Boukabara, Sid-Ahmed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c310t-7fff6cc87dc119468c11ff81ebc43d3e6bfaa8806632609c335e76ec6cbc05903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aeronautics</topic><topic>Ambiguity</topic><topic>Atmospheric models</topic><topic>Data assimilation</topic><topic>Data collection</topic><topic>Deployment</topic><topic>Experiments</topic><topic>Impact assessment</topic><topic>International Space Station</topic><topic>Meteorological satellites</topic><topic>Numerical forecasting models</topic><topic>Quality assessment</topic><topic>Quality control</topic><topic>Robustness (mathematics)</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Scatterometers</topic><topic>Sensors</topic><topic>Space stations</topic><topic>Spacecraft</topic><topic>Spacecraft maneuvers</topic><topic>Surface wind</topic><topic>Tropical environments</topic><topic>Vectors</topic><topic>Weather forecasting</topic><topic>Wind measurement</topic><topic>Wind speed</topic><topic>Wind vectors</topic><topic>Winds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Ling</creatorcontrib><creatorcontrib>Garrett, Kevin</creatorcontrib><creatorcontrib>Maddy, Eric S.</creatorcontrib><creatorcontrib>Boukabara, Sid-Ahmed</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 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In this study, the authors assess the data quality of the RapidScat Level 2B surface wind vector retrievals and the impact of those observations on the National Oceanic and Atmospheric Administration (NOAA) Global Forecast System (GFS). The RapidScat is found to provide quality measurements of surface wind speed and direction in nonprecipitating conditions and to provide observations that add both information and robustness to the global satellite observing system used in NWP models. The authors find that with an assumed uncertainty in wind speed of around 2 m s
−1
, the RapidScat has neutral impact on the short-range forecast of surface wind vectors in the tropics but improves both the analysis and background field of surface wind vectors. However, the deployment of RapidScat on the ISS presents some challenges for use of these wind vector observations in operational NWP, including frequent maneuvers of the spacecraft that could alter instrument performance.</abstract><cop>Washington</cop><pub>American Meteorological Society</pub><doi>10.1175/MWR-D-16-0179.1</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | American Meteorological Society; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Aeronautics Ambiguity Atmospheric models Data assimilation Data collection Deployment Experiments Impact assessment International Space Station Meteorological satellites Numerical forecasting models Quality assessment Quality control Robustness (mathematics) Satellite observation Satellites Scatterometers Sensors Space stations Spacecraft Spacecraft maneuvers Surface wind Tropical environments Vectors Weather forecasting Wind measurement Wind speed Wind vectors Winds |
| title | Impact Assessment of Assimilating NASA’s RapidScat Surface Wind Retrievals in the NOAA Global Data Assimilation System |
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